An algorithm for symbolic and numeric architecture determination in a knowledge-based analog-to-digital converter synthesis environment using fuzzy membership functions

被引：0

作者：

Odet-Allah, A ^{[1
]}

Hassoun, M ^{[1
]}

机构：

[1] Iowa State Univ, Dept Elect & Comp Engn, Ames, IA 50011 USA

来源：

ISCAS '99: PROCEEDINGS OF THE 1999 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL 5: SYSTEMS, POWER ELECTRONICS, AND NEURAL NETWORKS | 1999年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper introduces fuzzy membership functions as a solution to architecture determination problem in a knowledge-based system level synthesis process of Analog-to-Digital converters. The knowledge-based synthesizer is to determine the architecture to be used based on a set of symbolic or numeric specifications provided by the designer, examples are LOW power consumption, HIGH speed and LOW resolution. The other set of possible specifications is that of numeric values, when the designer has information about the speed, power or resolution. Fuzzy membership functions were considered for solving that problem, because fuzzy systems have the attractive feature of being able to process symbolic as well as numeric parameters.

引用

页码：607 / 611

页数：5